Detection and Classification of Liver Cancer using CT Images

Abstract

This paper presents the enhancement of Computed tomography (CT) images using two different algorithms: Contrast Limited Adaptive Histogram Equalization (CLAHE) and Constrained Variable Histogram Equalization (CVHE). CLAHE enhanced the tumor region in a new look. CVHE enhanced with preserving the globalization of an image. The normal liver detection is done by the ox plot comparison in CLAHE. Primary liver cancer detection is done by CVHE. State vector machines (SVM) classifier works for the classification of CT liver images.